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Lotka's Law and Authorship distribution pattern in Global Synthetic Biology Literature.

Authors :
K. T., Naheem
Sivaraman, P.
Saravanan, G.
Source :
Library Philosophy & Practice. 1/5/2021, p1-13. 13p.
Publication Year :
2021

Abstract

An attempt is made to examine the authorship distribution in Synthetic Biology (SB) literature and to validate Lotka's law of author productivity. Authors obtained data for this study from the WOS database. A total of 12012 papers with 33151 unique authors has identified, and used for further analysis. Authors calculated the exponents "n" and "c". Researchers employed Kolmogorov-Smirnov (K-S) test of goodness-of-fit to verify the validity of Lotka's Law in SB literature. The results of this study proved that Lotka's Law of author productivity does fit with SB literature based on the calculated values n = -2.45 and c= 0.74. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15220222
Database :
Academic Search Index
Journal :
Library Philosophy & Practice
Publication Type :
Academic Journal
Accession number :
153746225